It's not reliable enough to actually automate anything

This is half true. It's not reliable enough to automate an entire job but it is reliable enough to automate tasks that would otherwise take a lot of time, usually related to sifting or searching data.

If I need to look through a massive set of data like Google for something thst I can only describe with an explanation, the LLM will do a much faster job actually finding what you need rather thsn spending an hour manually sorting through SEO slop.

You don't even need the cloud models for this, you can slap SearXNG onto a local model at home.

It's basically just an autocomplete search on steroids which is its biggest advantage. Any documentation you need is immediately accessible, which is especially useful if you have zero experience with something niche or new.

Now actually getting the LLM to consistently generate output is a completely different story lol.

We call that vibe coding.